An Agent-Based Intelligent System for Information Gathering from World Wide Web Environment

Publisher:
IEEE Press
Publication Type:
Conference Proceeding
Citation:
Proceedings of 2002 International Conference on Machine Learning and Cybernetics, 2002, pp. 1852 - 1857
Issue Date:
2002-01
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To use the vast amount of information efficiently and effectively from Web sites is very important for making informed decisions. There are, however, still many problems that need to be overcome in the information gathering research arena to enable the delivery of relevant information required by users. In this paper, an information gathering system is develop by means of multiple agents to solve those problems. We employed some ideas of Gaia's methodology and an open agent architecture to analyze and design the system. The system consists of a query preprocessing agent, information retrieval agent, information filtering agent, and information management agent. The filtering agent is trained with categorized documents and can provide users with the necessary information. The experimental results show that all agents in the system can work cooperatively to retrieve relevant information from the World Wide Web environment.
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